Yeshwanth L M

nodejs-on-ec2. Hello World for Node.js

YouTube. YouTube

django-on-ec2. A simple todo app built with django

Serverless-Web-Application-on-AWS. Serverless Web Application on AWS for YouTube

Terraform-Jenkins. Terraform-Jenkins

installing-jenkins.

Kubeadm-Installation-Guide. Kubeadm Installation Guide

EC2-Memory-Disk-Monitoring. Monitor EC2 Memory and Disk Utilisation using CloudWatch

Prime-Video-Clone-Deployment. Cloning the Amazon Prime Video Website using HTML, CSS, JavaScript and ReactJS

starbucks. starbucks

background-remover-python-app. background-remover-python-app

Host-Resume-on-EC2. Host-Resume-on-EC2

EKS-Terraform-Jenkins. EKS-Terraform-Jenkins

AWS-Solutions-Architect-Associate. Notes for AWS Solutions Architect Associate

Polly-Powered-Audio-Narrator. Python

yeshwanthlm.

lambda-package. Python

Serverless-File-Sharing-Platform. Serverless File Sharing Platform

Learn-AWS-EKS. Learn AWS EKS

docker-flask-demo. docker-flask-demo

Forest-Connection. This is a hardware and software system for real time monitoring and detection of forest fires. With its help remote recognition of wood fires is possible as well as high-accuracy positioning of flame base. Hardware part of the system consists of a set of intellectual sensors which are installed inside the forese. The action range of sensors is 250 - 500m depending on the RF device and type of sensor. As for the sensors, video cameras, infrared imagers and other intellectual equipment are used. They detect fire areas by a number of measures and under different conditions. If the sensor detects a fire, the information is transmitted to control unit via various communication channels: optical, radio, wire, GSM, etc. In such a way forest data are transmitted to the software part of our project where they are processed and analyzed. The system will automatically find and identify the fire area. Thereafter the information is passed to special departments via built-in alerting service, Internet and even mobile networks. Characteristics of the System • Fire detection accuracy - up to 250 m • Direction detection accuracy -- 0.5° • Possibility to integration data from other information sources (weather and satellite information). • Possibility of efficient scaling and broadening of the system for coverage range extension. • Number of users - without limit. • Possibility to get information on mobile phones. • Automatic detection of potentially dangerous objects (smoke and flame). Advantages of System 1. Automatization of monitoring 2. Centrally managed monitoring of large areas 3. Opportunity detect fires at an early stage and its spread 4. High accuracy of fire detection 5. Decrease of human factor role when detecting fires 6. Low cost of installation and exploitation of the system in comparison with other forms of monitoring 7. Flexibility of the system depending on relief and customer wants

Boto3-Course-YouTube. Boto3-Course-YouTube

TestLambdaCICD. TestLambdaCICD

DevSecOps-Project. DevSecOps Project to setup Netflix clone on AWS using CICD, Security, Monitoring and GitOps

-100DaysOfAWSAutomation. #100DaysOfAutomation

AWS-RDS-Terraform. AWS RDS Instance with read-replica using Terraform

Build-Your-First-CRUD-API-in-AWS. Build Your First CRUD API in AWS

Terraform-101. Terraform Practice Projects

Smart-and-Sustainable-Waste-Management-System. In simple terms, waste management is the separation of wet waste and dry waste. The generation of waste is unavoidable, and the materials carried in this waste impacts human and environmental health. Naturally, waste management is something that must be carried out, and one way to do this meticulous segregation of wet and dry waste, so that dry waste can be recycled and wet waste can be composted. When we segregate waste, there is reduction of waste that reaches landfills and occupies space. Air and water pollution rates are considerably reduced, and makes it easier to apply different processes – composting, recycling and incineration can be applied to different kinds of waste. Waste management starts at the household level, and is not that difficult to achieve. Even a few minor changes can go a long way. Firstly, have two garbage disposal bins at home, one for dry waste and one for wet waste. Items like aluminium foils, tetra packs, glass, paper, plastics, metals, etc. fall under the dry waste category, whereas kitchen waste such as stale food, fruits and vegetables come under wet waste. It is important to make sure that wet waste is thrown out of the house on a daily basis. Dry waste can be discarded twice or thrice a week. Ensure that plastic containers thrown in the dry waste bin are void of any food residue. Besides taking measures at an individual level, try involving like-minded people and form a community solely dedicated to waste management in your apartment complex. Introduce two separate disposal drums on your complex ground, and explain to people the importance of this segregation. The process of waste segregation should be thoroughly explained to family and neighbours in your apartment building. Create awareness amongst the staff in the apartment building to help make the process easier. The importance of waste segregation in the world cannot be understated. Waste Segregation is the first step in a compliant waste management plan that will help the save the environment and improve the quality of the atmosphere we live in. It really does matter which bin you put the garbage into. If done in a proper manner, waste management not only eliminates the surrounding waste, but also will reduce the intensity of the greenhouse gases like methane, carbon monoxide which gets emitted from the wastes accumulated. The depth of the existing landfills will be also curbed, thereby cutting down whatever is toxic to the environment. The number of fossil fuels will also get reduced in this manner, leading to a cleaner and a greener environment. This project helps in managing both dry and wet waste in a smart way.

amonkincloud-blogs. amonkincloud-blogs

terraform-on-aws-ec2. Terraform On AWS for EC2, VPC, ASG, ALB, CLB, NLB, CloudWatch, SNS, S3, CodePipeline, ACM, Route53

Terraform-Tutorial. Terraform Tutorial with all the Live Example

EDA-Project-on-AWS. Step-by-Step Guide to Building a Simple EDA Project on AWS

DevOps-Project-1. Jenkins CI/CD Pipeline - SonarQube, Docker, GitHub Webhooks Project

Serverless-Registration-Form. Serverless-Registration-Form

DevSecOps-NodeJS-App-Actions. Deploy NodeJS Application on AWS using DevSecOps Approach using GitHub Actions

EC2-Tag-Notification. automated notifications when EC2 instances are missing a specific tag

Oracle-Cloud-Infrastructure-Foundations-2020-Associate. Oracle Cloud Infrastructure Foundations 2020 (1Z0–1085–20) Associate Exam Preparation Guide

Jenkins-Course. Jenkins Course For Beginners

AzureFundamentals-AZ-900-. AZ-900: Azure Fundamentals Exam Preparation Guide

simple-s3. Simple CFN for testing AWS CodePipeline

Random-Cloud-Definition-Generator. Random Cloud Definition Generator

30DaysOfTerraform. #30DaysOfTerraform

flask-todo-application. CSS

RDS-Automation. Automating Amazon RDS and Amazon Aurora recommendations via notification with AWS Lambda, Amazon EventBridge, and Amazon SES

AWS-Certified-Data-Engineer-Associate. AWS Certified Data Engineer - Associate

Cloud-Computing-101-IEEE-ISTT-Student-Branch. Cloud-Computing-101-IEEE-ISTT-Student-Branch

AWS-Workshop-IEEE-Leadership-Summit-2024. AWS Workshop IEEE Leadership Summit 2024

DevSecOps-NodeJS-App. DevSecOps-NodeJS-App

Host-Resume-on-AWS-NIE-2025. This is the repository explaining "How to Host Resume on AWS" for the students of the NIE Mysore.

Cloud-DevOps-Workshop-CBIT. This repository contains all the details for the Cloud/DevOps Workshop hosted at CBIT, Hyderabad

Must-Solve-Basic-C-Programming-Questions-with-Solutions. Basic C Programs on Control Statements (Looping) & Recursion

EC2-CloudWatch-Monitoring. EC2-CloudWatch-Monitoring

Subnetting-Concept. Subnetting-Concept